\left(J \cdot \left(e^{\ell} - e^{-\ell}\right)\right) \cdot \cos \left(\frac{K}{2}\right) + U\mathsf{fma}\left(J, \mathsf{fma}\left(\frac{1}{3}, {\ell}^{3}, \mathsf{fma}\left(\frac{1}{60}, {\ell}^{5}, 2 \cdot \ell\right)\right) \cdot \cos \left(\frac{K}{2}\right), U\right)double f(double J, double l, double K, double U) {
double r158844 = J;
double r158845 = l;
double r158846 = exp(r158845);
double r158847 = -r158845;
double r158848 = exp(r158847);
double r158849 = r158846 - r158848;
double r158850 = r158844 * r158849;
double r158851 = K;
double r158852 = 2.0;
double r158853 = r158851 / r158852;
double r158854 = cos(r158853);
double r158855 = r158850 * r158854;
double r158856 = U;
double r158857 = r158855 + r158856;
return r158857;
}
double f(double J, double l, double K, double U) {
double r158858 = J;
double r158859 = 0.3333333333333333;
double r158860 = l;
double r158861 = 3.0;
double r158862 = pow(r158860, r158861);
double r158863 = 0.016666666666666666;
double r158864 = 5.0;
double r158865 = pow(r158860, r158864);
double r158866 = 2.0;
double r158867 = r158866 * r158860;
double r158868 = fma(r158863, r158865, r158867);
double r158869 = fma(r158859, r158862, r158868);
double r158870 = K;
double r158871 = 2.0;
double r158872 = r158870 / r158871;
double r158873 = cos(r158872);
double r158874 = r158869 * r158873;
double r158875 = U;
double r158876 = fma(r158858, r158874, r158875);
return r158876;
}



Bits error versus J



Bits error versus l



Bits error versus K



Bits error versus U
Initial program 16.9
Simplified16.9
Taylor expanded around 0 0.4
Simplified0.4
rmApplied fma-udef0.4
rmApplied associate-*l*0.4
rmApplied fma-def0.4
Final simplification0.4
herbie shell --seed 2020056 +o rules:numerics
(FPCore (J l K U)
:name "Maksimov and Kolovsky, Equation (4)"
:precision binary64
(+ (* (* J (- (exp l) (exp (- l)))) (cos (/ K 2))) U))